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Kapes, Jerome T.; And Others – 1980
Three models of multiple regression analysis (MRA): single equation, commonality analysis, and path analysis, were applied to longitudinal data from the Pennsylvania Vocational Development Study. Variables influencing weekly income of vocational education students one year after high school graduation were examined: grade point averages (grades…
Descriptors: Grade Point Average, High School Graduates, High Schools, Income
Anderson, Barry D.; Tissier, Ronald M. – 1972
A need to provide more data about the impact of schools on children in terms of manipulable variables prompted an examination of the relationship between school organization and student aspirations for further education. A causal model is examined which would enable investigation of the mechanism by which school contexts could alter aspiration.…
Descriptors: Academic Aspiration, Bureaucracy, Educational Environment, Educational Policy
Download full textSchiamberg, Lawrence B.; Chin, Chong-Hee – 1987
Focusing on the family as a context for the development of life plans by youth, this report summarizes findings of a 14-year longitudinal study on the educational and occupational life plans and achievement of youth in rural low-income areas in six southeastern states. Specific attention is given to (1) how parental educational and occupational…
Descriptors: Academic Achievement, Achievement Need, Adolescents, Ecology
Cline, Marvin G.; And Others – 1980
The results of the secondary analysis of data obtained in a study of Head Start graduates in the public schools are summarized in this report. Due to unforseen circumstances, the original longitudinal research design was not fully implemented, and the study was constrained to one administration of a test battery to first-grade students. The…
Descriptors: Comparative Analysis, Early Experience, Economic Status, Ethnicity
Bean, John P. – 1981
A model of student attrition was synthesized from psychological, sociological, and educational sources, and contains six sets of variables: background, organizational, personal, environmental, attitudinal, and intent to leave. The model was tested with 1,909 full-time and unmarried university freshmen at a major midwestern university. The sample…
Descriptors: Academic Aspiration, College Environment, College Freshmen, Decision Making
Direct linkBlackman, Ian; Darmawan, I Gusti Ngurah – International Education Journal, 2004
A hypothetical model was formulated to explore factors that influenced academic and clinical achievement for graduate-entry medical students completing their third year of university studies. Nine latent variables were considered including the students' background, previous successes with their undergraduate and postgraduate studies and their…
Descriptors: Medical Students, Academic Achievement, Path Analysis, Least Squares Statistics
Virginia Polytechnic Inst. and State Univ., Blacksburg. Dept. of Education. – 1980
Results of the secondary analysis of data obtained in a study of Head Start graduates in the public schools are presented and discussed in this final report. Unforeseen circumstances prohibited the full implementation of the original longitudinal research design, and, consequently, only one test battery was administered to first-grade students.…
Descriptors: Assertiveness, Early Experience, Economic Status, Ethnicity
Peer reviewedKeeves, John P. – International Journal of Educational Research, 1986
Five statistical techniques were used to analyze the data collected in a previous article (TM 511 223) on student achievement, attention, and motivation in secondary school mathematics and science: ordinary least squares regression, canonical correlation, factorial modeling, partial least squares path analysis, and linear structural relations…
Descriptors: Academic Achievement, Attention, Elementary Secondary Education, Factor Analysis
Kim, Lori Yoonkyung – 1993
Data from the 1990 National Assessment of Educational Progress (NAEP) Trial State Assessment (TSA) in mathematics were analyzed to determine what educational factors influence student learning, how these factors influence learning, and how important these factors are to student achievement. NAEP TSA data were collected from more than 100,000…
Descriptors: Behavior Patterns, Educational Environment, Educational Policy, Grade 8
Hilton, Thomas L.; And Others – 1985
Since the mean score for a sample composed of several subgroups can be viewed as the sum of the mean of each subgroup weighted by the proportional size of the subgroup, then the mean change in a time period--in this case, from 1972 to 1980--is the sum of the differences between the means for each subgroup, with each mean weighted by its…
Descriptors: Analysis of Covariance, Cohort Analysis, Cross Sectional Studies, Educational Trends
Crawford, John; And Others – 1985
Various models of school effects on student achievement were applied in a study of reading and mathematics achievement in the 94 schools of the Oklahoma City Public Schools. The Leadership/Climate Inventory, completed by 1294 teachers, rated school principals in the areas of expectations, instructional leadership, forceful or dynamic style,…
Descriptors: Academic Achievement, Administrator Evaluation, Administrator Role, Elementary Secondary Education
Burt, Keith B.; Hay, Dale F.; Pawlby, Susan; Harold, Gordon; Sharp, Deborah – Journal of Child Psychology and Psychiatry, 2004
Background: Variable- and person-centred analyses were used to examine prediction of middle childhood behaviour problems from earlier child and family measures. Method: A community sample of 164 families, initially recruited at antenatal clinics at two South London practices, was assessed for children's behaviour problems and cognitive ability,…
Descriptors: Foreign Countries, Predictive Measurement, Measurement Techniques, Ethnicity
Peer reviewedMcPherson, Gary E.; And Others – Journal of Research in Music Education, 1997
Surveys 101 wind instrumentalists to reveal major differences in the pattern of influences leading to the re-creative skill of performing a repertoire of rehearsed music for a formal examination compared to the creative ability of improvising. Uses a path analysis to determine links between the data and theoretical model. (MJP)
Descriptors: Behavioral Objectives, Causal Models, Context Effect, Correlation
Lambert, Nadine M. – 1987
An interactional model explaining predisposition to hyperactivity asserts that being identified, diagnosed, and treated as hyperactive is a function of biological factors, early health and temperament, family characteristics, and the quality of the home environment. A longitudinal study involving 367 subjects, aged 17-18, tested the interactional…
Descriptors: Adolescent Development, Adolescents, Behavior Disorders, Behavior Patterns
